As discussions about the impact of artificial intelligence (AI) on education continue to deepen, a growing consensus is emerging regarding the role of AI in teaching innovation.
First, teaching innovation should remain human-centered. While technology is an important means of advancing this goal, it should not become the ultimate purpose of educational innovation. Second, as a supporting tool, AI can help educators access and process information, facilitate communication, support instructional design and improve efficiency. The deeper value of educational innovation, however, lies in human development and the cultivation of distinct human capacities, including thinking, reasoning, judgment, creativity, collaboration, communication and ethical awareness.
As our understanding of the relationship between AI and education continues to evolve, we also need to reconsider what we mean by teaching innovation. Innovation should not be defined simply by whether new technology is being used. Rather, it should return to a fundamental principle of education: placing learners and their development at the center.
From this perspective, meaningful teaching innovation is reflected in how educators respond to the changing needs of diverse learners, redesign meaningful learning experiences and help students apply knowledge in authentic contexts and prepare to address complex real-world problems.
The articles in this issue of the Journal of Research in Innovative Teaching and Learning (JRIT&L) examine teaching innovation from a variety of perspectives, including AI-supported instruction, curriculum design, teacher professional development, special education, AI-influenced learning environments and interdisciplinary teaching practices. Collectively, these studies offer both theoretical perspectives and rich practical experiences that can inform educators seeking to improve teaching and learning. Through their exploration of AI, massive open online courses (MOOCs) and other emerging educational practices, the articles in this issue illustrate a broader understanding of teaching innovation: innovation is not limited to the adoption of technology; rather, it is about using appropriate tools and approaches to create more meaningful learning.
Higher education and K–12 education continue to undergo notable change, and our understanding of teaching innovation is evolving with them. The adoption of new technologies alone does not define meaningful teaching innovation; rather, it lies in how educators thoughtfully design purposeful learning experiences that foster deep learning, critical thinking, creativity, collaboration and reflection. In a rapidly evolving AI environment, educators must therefore confront an increasingly important question: How can we leverage AI while further cultivating the human capacities it cannot readily replace?
The challenge before us, therefore, is not simply to “add” technology to existing instruction but to thoughtfully integrate technology into a human-centered learning environment. Such integration involves educational philosophy, curriculum and instruction and learning activities and assessment. We believe technological advancement can be a powerful means of extending and improving teaching and learning but technology itself does not determine educational quality. The quality of learning depends on how educators understand learning, design learning experiences, support learners, exercise professional judgment and continually improve their practice.
Looking ahead, JRIT&L will continue to welcome rigorous, innovative and practice-oriented scholarship that advances teaching and learning across diverse educational contexts. We believe that the central question facing education is gradually shifting from whether AI should be used in teaching to how educators can use AI purposefully, responsibly and creatively to enrich teaching and learning. We particularly encourage scholarship that connect research with classroom practice and critically examine both the opportunities and challenges associated with emerging technologies. Areas of focus include but are not limited to, AI-influenced teaching and learning, learning analytics, interdisciplinary studies, professional development, human–AI collaboration and other innovative practices that foster effective learning.
At the same time, as AI increasingly influences academic research and scholarly communication, rigorous peer review has become more important than ever. High-quality scholarly publications require not only innovative ideas and research findings but also a commitment among reviewers and editors to maintaining academic rigor, integrity and professional standards. We therefore extend our sincere appreciation to all our reviewers and Associate Editors for their professionalism, scholarly rigor and invaluable contributions to maintaining and enhancing the journal's quality.
As we navigate both the opportunities and challenges presented by AI, we hope that JRIT&L will continue to serve as an important scholarly platform connecting research and practice, technology and humanity and innovation and learning. Technology will continue to evolve and approaches to teaching will continue to change but the fundamental purpose of education remains: to foster human growth and development through meaningful learning.
